This intriguing book was born out of the many discussions the authors had in the past 10 years about the role of scale-free structure and dynamics in producing intelligent behavior in brains. The microscopic dynamics of neural networks is well described by the prevailing paradigm based in a narrow interpretation of the neuron doctrine. This book broadens the doctrine by incorporating the dynamics of neural fields, as first revealed by modeling with differential equations (K-sets). The book broadens that approach by application of random graph theory (neuropercolation). The book concludes with diverse commentaries that exemplify the wide range of mathematical/conceptual approaches to neural fields. This book is intended for researchers, postdocs, and graduate students, who see the limitations of network theory and seek a beachhead from which to embark on mesoscopic and macroscopic neurodynamics.

This volume addresses itself to the ways in which the so-called 'new sciences of complexity' can deepen and broaden neurobiological and psychological theories of mind. Complexity theory has gained increasing attention over the past 20 years across diverse areas of inquiry, including mathematics, physics, economics, biology, and the social sciences. Complexity theory concerns itself with how nonlinear dynamical systems evolve and change over time and draws on research arising from chaos theory, self-organization, artificial intelligence and cellular automata, to name a few. This emerging discipline shows many points of convergence with psychological theory and practice, emphasizing that history is irreversible and discontinuous, that small early interventions can have large and unexpected later effects, that each life trajectory is unique yet patterned, that measurement error is not random and cannot be justifiably distributed equally across experimental conditions, that a system's collective and coordinated organization is emergent and often arises from simple components in interaction, and that change is more likely to emerge under conditions of optimal turbulence.

This volume addresses itself to the ways in which the so-called 'new sciences of complexity' can deepen and broaden neurobiological and psychological theories of mind. Complexity theory has gained increasing attention over the past 20 years across diverse areas of inquiry, including mathematics, physics, economics, biology, and the social sciences. Complexity theory concerns itself with how nonlinear dynamical systems evolve and change over time and draws on research arising from chaos theory, self-organization, artificial intelligence and cellular automata, to name a few. This emerging discipline shows many points of convergence with psychological theory and practice, emphasizing that history is irreversible and discontinuous, that small early interventions can have large and unexpected later effects, that each life trajectory is unique yet patterned, that measurement error is not random and cannot be justifiably distributed equally across experimental conditions, that a system's collective and coordinated organization is emergent and often arises from simple components in interaction, and that change is more likely to emerge under conditions of optimal turbulence.

This monograph from a leading neuroscientist and neural networks researcher investigates and offers a fresh approach to the perplexing scientific and philosophical problems of minds and brains. It explains how brains have evolved from our earliest vertebrate ancestors. It details how brains provide the basis for successful comprehension of the environment, for the formulation of actions and prediction of their consequences, and for cooperating or competing with other beings that have brains. The book also offers observations regarding such issues as:
* how and why people fall in and out of love;
* the biological basis for experiencing feelings of love and hate; and
* how music and dance have provided the ancestral technology for forming social groups such as tribes and clans.
The author reviews the history of the mind-brain problem, and demonstrates how the new sciences of behavioral electrophysiology and nonlinear dynamics -- combined with the latest computer technology -- have made it possible for us to observe brains in action. He also provides an answer to the question: What happens to a stimulus after it enters the brain? The answer: The stimulus triggers the construction of a percept and is then washed away. All that we know is what our brains construct for us by neurodynamics. Brains are not logical devices that process information. They are dynamical systems that create meaning through interactions with the environment -- and each other.
The book shows how the learning process by which brains construct meaning tends to isolate brains into self-centered worlds, and how nature has provided a remedy -- first appearing in mammals as a mechanism for pair-bonding -- to ensure reproduction of the young dependent on parents. The remedy is based in the neurochemistry of sex which serves to dissolve belief structures in order to open the way for new patterns of understanding and behavior. Individuals experience these changes in various ways, such as falling in love, collegiate indoctrination, tribal bonding, brain washing, political or religious conversions, and related types of socialization. The highest forms of meaning for humans come through these social attachments.

This monograph from a leading neuroscientist and neural networks researcher investigates and offers a fresh approach to the perplexing scientific and philosophical problems of minds and brains. It explains how brains have evolved from our earliest vertebrate ancestors. It details how brains provide the basis for successful comprehension of the environment, for the formulation of actions and prediction of their consequences, and for cooperating or competing with other beings that have brains. The book also offers observations regarding such issues as:
* how and why people fall in and out of love;
* the biological basis for experiencing feelings of love and hate; and
* how music and dance have provided the ancestral technology for forming social groups such as tribes and clans.
The author reviews the history of the mind-brain problem, and demonstrates how the new sciences of behavioral electrophysiology and nonlinear dynamics -- combined with the latest computer technology -- have made it possible for us to observe brains in action. He also provides an answer to the question: What happens to a stimulus after it enters the brain? The answer: The stimulus triggers the construction of a percept and is then washed away. All that we know is what our brains construct for us by neurodynamics. Brains are not logical devices that process information. They are dynamical systems that create meaning through interactions with the environment -- and each other.
The book shows how the learning process by which brains construct meaning tends to isolate brains into self-centered worlds, and how nature has provided a remedy -- first appearing in mammals as a mechanism for pair-bonding -- to ensure reproduction of the young dependent on parents. The remedy is based in the neurochemistry of sex which serves to dissolve belief structures in order to open the way for new patterns of understanding and behavior. Individuals experience these changes in various ways, such as falling in love, collegiate indoctrination, tribal bonding, brain washing, political or religious conversions, and related types of socialization. The highest forms of meaning for humans come through these social attachments.

This intriguing book was born out of the many discussions the authors had in the past 10 years about the role of scale-free structure and dynamics in producing intelligent behavior in brains. The microscopic dynamics of neural networks is well described by the prevailing paradigm based in a narrow interpretation of the neuron doctrine. This book broadens the doctrine by incorporating the dynamics of neural fields, as first revealed by modeling with differential equations (K-sets). The book broadens that approach by application of random graph theory (neuropercolation). The book concludes with diverse commentaries that exemplify the wide range of mathematical/conceptual approaches to neural fields. This book is intended for researchers, postdocs, and graduate students, who see the limitations of network theory and seek a beachhead from which to embark on mesoscopic and macroscopic neurodynamics.

For a long time now people have assumed that body and mind are two separate things. That view is now being challenged with a range of "holistic" remedies and approaches in all aspects of life. The original thinking can be compared to a computer - the computer is the brain and our mind just the program that runs on it. Thus thinking, cognition, is something for computers, rather than humans. The results from this has seen the introduction of AI - artificial intelligence - and other cognitive science theories. The contributors to this book do not take that stance, they treat the thinking person as an ambodied whole. This book is a critique of traditional cognitive science and a presentation of alternative approaches owing more to evolutionary biology and dynamical systems. Contributors include: Andy Clark, Valerie Gray Hardcastle, Robert Shaw, and Esther Thelen.